code: def testComputeGradientsWithTensors(self):
      x = ops.convert_to_tensor(1.0)
  
      def f():
          return x * x
  
      sgd_op = gradient_descent.GradientDescentOptimizer(3.0)
      grads_and_vars = sgd_op.compute_gradients(f, [x])
      self.assertEqual(1, len(grads_and_vars))
      grad, x_as_var = grads_and_vars[0]
      self.assertIs(x, x_as_var)
      self.assertEqual(2.0, self.evaluate(grad))
  
      with self.assertRaises(NotImplementedError):
          sgd_op.apply_gradients(grads_and_vars)
  
imports: from tensorflow.python.distribute import cross_device_ops
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import adam
  from tensorflow.python.training import gradient_descent
label_desc: Use image node_id 9 for calling the OptimizerTest obj's underlying member method code with example usage: obj.testComputeGradientsWithTensors() and returns: unknown